auto shop
    8 min read

    How to Create Repair Estimates That Close (Without Discounting)

    A great estimate is a sales document, not a quote. The shops closing 70%+ all follow the same structure.

    The real problem

    Most shops still text a price and hope. Customers Google the part, find it cheaper, and ghost. The fix is evidence, options, and follow-up — not lower prices.

    By the numbers

    Avg shop close rate
    52%
    Top-quartile close rate
    72%+
    Close-rate lift w/ photos
    +19%
    Close-rate lift w/ tiered options
    +12%

    1. Lead with photo/video evidence

    A photo of the leaking pinion seal or cracked control arm closes faster than any sales script. Digital MPI with 2–4 photos per recommendation lifts approval rate ~19%.

    2. Offer good / better / best

    Three options on big jobs: economy parts (lifetime warranty), OEM, OEM + adjacent maintenance. Customers pick "better" ~58% of the time when offered all three — vs picking nothing when offered one.

    3. Quote labor and parts together — not separately

    Customers Google a part price the second they see it broken out. Quote turnkey ("Brake job, all-in: $789") with the line items as a collapsible detail.

    4. Add "as low as $XX/mo" on tickets over $800

    Print the Sunbit/Affirm monthly figure on every line over $800. Lifts close rate 12–18% on big-ticket.

    5. The 14-day follow-up

    On every declined estimate, send an automated SMS at day 14 with the photos and price. 30–50% of declines convert if followed up. This is the single biggest free revenue lever in any shop.

    Frequently asked questions

    What's a good close rate on auto repair estimates?

    Industry avg is 52%. Healthy shops run 65%+. Top-quartile run 72–80% with digital MPI, tiered options, and SMS follow-up.

    Should I include labor in the line items on an estimate?

    Yes, but as a collapsible detail — lead with turnkey pricing so customers don't price-shop individual parts.

    Send estimates that close — with photos, tiers, and financing built in

    Digital MPI, Sunbit/Affirm, and automated follow-up in Repairius.

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